AI TECH

Google Cloud Introduces Vertex AI, which makes Machine Learning More Accessible and Useful For Developers and Businesses

Google Cloud | May 19, 2021

Vertex AI, a managed machine learning (ML) platform that helps businesses to accelerate the deployment and maintenance of artificial intelligence (AI) models, becoming generally available today at Google I/O. In comparison to competitive platforms1, Vertex AI takes approximately 80% fewer lines of code to train a model, allowing data scientists and ML engineers of all levels of experience to apply Machine Learning Operations (MLOps) to effectively design and operate ML projects during the development lifecycle.

Data scientists are currently faced with the task of manually piecing together ML point solutions, resulting in a gap in model development and experimentation, with just a few models making it into production. To address these issues, Vertex AI unifies the Google Cloud resources for developing machine learning models into a single UI and API, making the task of building, training, and deploying machine learning models at a scale far easier. Customers can switch models from experimentation to production faster, find trends and anomalies more quickly, make better predictions and decisions, and be more resilient in the face of changing market dynamics in this single environment.

Google has learned valuable lessons about how to create, deliver, and manage machine learning models in production over decades of innovation and strategic investment in AI. These ideas and engineering have been baked into the foundation and nature of Vertex AI, and new Google Research innovation will continue to enrich it. For the first time, data science and machine learning engineering teams can:

• Access Google's AI toolkit, which contains computer vision, language, conversation, and structured data, and is constantly improved by Google Research.

• With new MLOps features like Vertex Vizier, which improves the pace of experimentation, the full run Vertex Feature Store, which helps practitioners serve, share, and reuse ML features, and Vertex Experiments, which accelerates the deployment of models into production with quicker model selection, you can deploy more useful AI applications faster.

• Streamline the end-to-end ML workflow with MLOps tools including Vertex Continuous Monitoring and Vertex Pipelines, which eliminate the complexity of self-service model maintenance and repeatability.

About Google Cloud

With the best infrastructure, platform, industry solutions, and expertise, Google Cloud accelerate companies' ability to digitally transform their businesses. It provides enterprise-grade cloud solutions that take advantage of Google's cutting-edge technologies to help businesses run more efficiently and adapt to evolving needs, laying the foundation for the future. Customers in over 200 countries and territories rely on Google Cloud to help them overcome their most critical business challenges.

Spotlight

Will an artificial intelligence replace the doctor? I think we can look right now and say, at present, the answer is, no. Doctors will use artificial intelligence the way they used diagnostic tools in order to recommend a course of action, and it may heavily be influenced and advised by the artificial intelligence. But, in the end there's a need for a professional between the patient and the system that is able to interpret and override and augment the results of the software.

Spotlight

Will an artificial intelligence replace the doctor? I think we can look right now and say, at present, the answer is, no. Doctors will use artificial intelligence the way they used diagnostic tools in order to recommend a course of action, and it may heavily be influenced and advised by the artificial intelligence. But, in the end there's a need for a professional between the patient and the system that is able to interpret and override and augment the results of the software.

Related News

FUTURE TECH

Next Pathway to Partner with Microsoft to migrate customers to Microsoft Azure

Next Pathway | August 08, 2022

Next Pathway Inc., the Automated Cloud Migration company, today announced a collaboration with Microsoft to accelerate the migration from legacy data warehouses and data lakes to Microsoft Azure. Next Pathway's SHIFT™ Migration Suite is being offered as part of the Service to plan and execute Cloud Migrations to Azure. The suite includes SHIFT™ Analyzer which provides a comprehensive review of source legacy application workloads to review the code types and objects which are present, and SHIFT™ Translator which accelerates the translation, testing and migration of complex workloads, such as, SQL, Stored Procedures, ETL pipelines/workflows, and various other code types. Moreover, Next Pathway's technology can also move workloads from other cloud platforms and cloud data warehouses to Azure with ease and efficiency. An important feature of Next Pathway's technology is the ability to translate legacy ETL pipelines to run natively in Azure Data Factory (ADF). ADF is a cloud-based data integration service that allows users to create data-driven workflows in the cloud for orchestrating and automating data movement and data transformation. This collaboration creates an accelerated path for customers to Azure. "At Next Pathway we are continuously innovating to make it easier, and faster for our customers to migrate to the cloud. We are extremely excited to be working with Microsoft". Chetan Mathur, Chief Executive Officer at Next Pathway "We are pleased to partner with Next Pathway and provide our customers with a faster and more efficient migration path to Microsoft Azure," said Zia Mansoor, Worldwide Vice President Data and AI. About Next Pathway Next Pathway is the Automated Cloud Migration company. Powered by Crawler360™, the Migration Planner and the SHIFT™ Migration Suite, Next Pathway automates the end-to-end challenges companies experience when migrating applications to the cloud.

Read More

GENERAL AI

Botminds Document AI is Now Available in the Microsoft Azure Marketplace

Botminds AI | July 26, 2022

Botminds AI, today announced the availability of Botminds Document AI platform in the Microsoft Azure Marketplace, an online store providing applications, and services for use on Azure. Botminds' customers can now take advantage of the productive and trusted Azure cloud platform, with streamlined deployment and management. Botminds is the World's first integrated platform for Document Understanding/Intelligent Document Processing (IDP). Botminds provides AI-powered solutions that read and understand documents, a search engine to query any document, enriched document analytics, and end-to-end document-based process automation. Our customers experience - Improved turn-around-time by 80%, reduced cost by 70% and an improvement in their operational efficiency by 90%, within weeks. Our custom AI models, help organizations transform data into intelligent actionable insights. "Our aim is to make Botminds AI platform as the de-facto Document AI platform for enterprises in their transition from RPA to a more empowered Intelligent Automation(IA) world," said Gokul Ganapathi, CEO of Botminds. "Making Botminds available in the Microsoft Azure Marketplace is a key step in this mission. From now on, getting started with Botminds AI to automate so far untouched document-centric processes is super simple for enterprises already on Microsoft Azure." "Through Microsoft Azure Marketplace, customers around the world can easily find, buy, and deploy partner solutions they can trust, all certified and optimized to run on Azure," said Jake Zborowski, General Manager, Microsoft Azure Platform at Microsoft Corp. "We're happy to welcome Botminds AI solution to the growing Azure Marketplace ecosystem." The Azure Marketplace is an online market for buying and selling cloud solutions certified to run on Azure. The Azure Marketplace helps connect companies seeking innovative, cloud-based solutions with partners who have developed solutions that are ready to use. About Botminds AI Founded in 2015, we at Botminds AI chase the research happening at the intersection of Deep Learning & NLP continuously, so you don't have to. We have built our own semantic engine, developed on top of state-of-the-art algorithms/networks. A vertically integrated horizontal platform that has been recognized as the one-stop solution for any document-centric processes and the most user-friendly platform by our clients. We are headquartered in Seattle, WA, USA, with our R&D center in Chennai, India.

Read More

AI TECH,GENERAL AI

PwC Germany and Monitaur Form Strategic Partnership to Advance AI Governance

PwC Germany | September 08, 2022

PwC Germany, the leading auditing and consulting firm in Germany, and Monitaur, an AI governance software company, today announced that they have formed a strategic partnership to advance AI governance to meet the demands of European AI regulatory compliance. Responsible and ethical AI is a cross-functional business challenge. To deliver assurances, organizations need to implement life cycle governance and auditing practices. Unfortunately, the gap between such strategies and day-to-day operations is wide. This partnership will deliver repeatable and scalable life cycle governance and assurances. “Auditing AI will help organizations maximize value from the technology by better understanding and minimizing risks, strengthening internal controls, and ensuring compliance with statutory requirements,” said Bradley Shimmin, chief analyst at Omdia. “Combining PwC’s deep customer expertise and Monitaur’s highly adaptive ML Assurance Platform will serve as a positive accelerant throughout the AI marketplace, helping diverse companies more rapidly and with greater assurance build responsible AI outcomes that engender trust among consumers.” PwC Germany is responding to customer demand for assistance in building trust and assurances across their artificial intelligence projects and priorities. The European Commission drafted the EU AI Act to define a framework addressing the increasing number of risks and challenges in the area of artificial intelligence. The European Commission is not alone in realizing that the need for regulation of AI must be met in a timely manner. Germany, in particular, has established AI regulation standards (AIC4/ IDW PS 861) that require independent audits. The PwC Germany/Monitaur strategic partnership was formed at this time to prioritize and focus on addressing the regulation of artificial intelligence. “Building responsible and trustworthy AI programs is a complex challenge for enterprise companies, “but one that is increasingly becoming a top priority in support of corporate strategies and in response to accelerated regulatory expectations.” Hendrik Reese, partner at PwC Germany Monitaur was founded on the mission to deliver software enablement of governance and assurances as the key driver of trust and confidence in AI. The company is building the software required to operationalize responsible and ethical governance at scale in enterprises and leading technology companies. Monitaur’s platform offers solutions that support a holistic approach across the model life cycle, from governance policy creation, through stakeholder collaboration, to production monitoring and objective audits. “As I think about our ultimate mission of creating greater confidence and trust in AI, it is impossible to achieve such impact without strong partners and a robust ecosystem,” said Monitaur founding CEO Anthony Habayeb. “PwC shares our vision for the positive potential of AI to improve our everyday lives when well governed. We are well aligned to collaborate to help companies go beyond good intentions to deliver responsible, ethical systems that unlock that potential.” Both companies will collaborate to develop education and governance methodologies to create a more responsible, trustworthy and ethical AI future. About Monitaur Monitaur, Inc. is an AI governance software company that goes beyond good intentions. The Monitaur ML Assurance platform is a SaaS suite of integrated products designed for companies using AI to make high-impact decisions. Global organizations use Monitaur to drive policies, collaboration, oversight, monitoring and assurances of responsible and ethical life cycle AI governance. Founded in 2019 by a team of deep domain experts in the areas of corporate innovation, machine learning, assurance, and software development, Monitaur is committed to improving people’s lives by providing confidence and trust in AI. About PwC Germany Our clients face diverse challenges, strive to put new ideas into practice, and seek expert advice. They turn to us for comprehensive support and practical solutions that deliver maximum value. Whether for a global player, a family business or a public institution, we leverage all of our assets: experience, industry knowledge, high standards of quality, commitment to innovation, and the resources of our expert network in 156 countries. Building a trusting and cooperative relationship with our clients is particularly important to us — the better we know and understand our clients’ needs, the more effectively we can support them.

Read More